Prevalence of pregnancy involvement among Canadian transgender youth and its relation to mental health, sexual health, and gender identity
Bibliographic record
Abstract
While little research has been conducted into the reproductive experiences of transgender people, available evidence suggests that like cisgender people, most transgender people endorse a desire for these experiences. This study explores the pregnancy experiences and related health factors among transgender and gender diverse 14 to 25 year olds using a national Canadian sample (N = 923). Results indicated that 26 (5%) transgender youth reported a pregnancy experience in the past and the prevalence among 14- to 18-year-olds was comparable to population-based estimates using the same question in the British Columbia Adolescent Health Survey. Transgender youth with a history of pregnancy involvement reported a diverse range of gender identities, and this group did not differ from the remainder of the sample on general mental health, social supports, and living in felt gender. This group did report over six times greater likelihood of having been diagnosed with a sexually transmitted infection by a doctor (19%), but they did not differ in reported contraception use during last sexual intercourse. These findings suggest that pregnancy involvement is an issue that should not be overlooked by health professionals working with transgender youth and that this group has particular sexual health needs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".